2 citations · 2 across the 3 of their papers we have counts for
4 papers
LittiChoQA: Literary Texts in Indic Languages Chosen for Question Answering
Aarya Khandelwal, Ritwik Mishra, Rajiv Ratn Shah
Long-context question answering (QA) over literary texts poses significant challenges for modern large language models, particularly in low-resource languages. We address the scarc…
Long-context Non-factoid Question Answering in Indic Languages
Ritwik Mishra, Rajiv Ratn Shah, Ponnurangam Kumaraguru
Question Answering (QA) tasks, which involve extracting answers from a given context, are relatively straightforward for modern Large Language Models (LLMs) when the context is sho…
Multilingual Non-Factoid Question Answering with Answer Paragraph Selection
Ritwik Mishra, Sreeram Vennam, Rajiv Ratn Shah +1
Most existing Question Answering Datasets (QuADs) primarily focus on factoid-based short-context Question Answering (QA) in high-resource languages. However, the scope of such data…
Multilingual Coreference Resolution in Low-resource South Asian Languages
Ritwik Mishra, Pooja Desur, Rajiv Ratn Shah +1
Coreference resolution involves the task of identifying text spans within a discourse that pertain to the same real-world entity. While this task has been extensively explored in t…